I'm a researcher in computer vision and machine learning currently working on unsupervised domain adaptation and contrastive learning for visual recognition tasks. My work focuses on developing efficient methods that can perform well with limited labeled data, particularly in challenging domains like synthetic aperture radar (SAR) automatic target recognition and steel surface defect detection.
My research interests span several key areas including transfer learning, vision-language models, parameter-efficient training, and zero-shot learning. I have extensive experience working with self-supervised learning and contrastive learning methods to address the fundamental challenge of learning robust representations from small sample sizes. Much of my work has been published in top-tier venues including IEEE Transactions on Geoscience and Remote Sensing, IEEE Transactions on Circuits and Systems for Video Technology, and Expert Systems with Applications.
Cuilin Yu, Yikui Zhai, Haifeng Huang, Qingsong Wang, Wenlve Zhou
Remote Sensing 2024
Junyuan Shang, Chang Niu, Wenlve Zhou, Zhiheng Zhou, Junmei Yang
IEEE Transactions on Aerospace and Electronic Systems 2024
Ruiming Li, Jinxin Wang, Wenlve Zhou, Xi Wu, Chao Dong, Yikui Zhai, Yebin Chen
2020 2nd International Conference on Applied Machine Learning (ICAML) 2020
Liu Shikuang, Wenlve Zhou, Ying Xu, Liu FanSheng, Zhang Junliang, X. Huang, Yanqing Lu, Yuanpeng Su, Yinpei Zhan, Hua Junwei
3D Imaging Technologies—Multi-dimensional Signal Processing and Deep Learning 2021
Zhang Junliang, Wenlve Zhou, Ying Xu, Xuelin Huang, Liu Shikuang, Yanqing Lu, Yuanpeng Su, Liu FanSheng, Zhan Yingpei, Hua Junwei
3D Imaging Technologies—Multi-dimensional Signal Processing and Deep Learning 2021
Yikui Zhai, Qirui Ke, Xingling Liu, Wenlve Zhou, Ying Xu, Z. Ying, Junying Gan, Junying Zeng, R. D. Labati, V. Piuri, F. Scotti
IEEE Transactions on Instrumentation and Measurement 2021
Yikui Zhai, Ke Qirui, Xu Ying, Wenbo Deng, Junying Gan, Junying Zeng, Wenlve Zhou, F. Scotti, Ruggero Donida, Labati